Text Mining for Qualitative Data Analysis in the Social Sciences

Gregor Wiedemann

ISBN 10: 3658153083 / ISBN 13: 9783658153083

Published by Springer Fachmedien Wiesbaden Sep 2016, 2016

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -Gregor Wiedemann evaluates text mining applications for social science studies with respect to conceptual integration of consciously selected methods, systematic optimization of algorithms and workflows, and methodological reflections relating to empirical research. In an exemplary study, he introduces workflows to analyze a corpus of around 600,000 newspaper articles on the subject of 'democratic demarcation' in Germany. He provides a valuable resource for innovative measures to social scientists and computer scientists in the field of applied natural language processing. 312 pp. Englisch.

Seller Inventory # 9783658153083

Bibliographic Details

• Title: Text Mining for Qualitative Data Analysis in the Social Sciences
• Publisher: Springer Fachmedien Wiesbaden Sep 2016
• Publication Date: 2016
• Language: English
• ISBN 10: 3658153083
• ISBN 13: 9783658153083
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 210W x 148H x 17D millimeters 210 millimeters width by 148 millimeters height by 17 millimeters depth
• Weight: 406 grams

About this title

Synopsis

Gregor Wiedemann evaluates text mining applications for social science studies with respect to conceptual integration of consciously selected methods, systematic optimization of algorithms and workflows, and methodological reflections relating to empirical research. In an exemplary study, he introduces workflows to analyze a corpus of around 600,000 newspaper articles on the subject of “democratic demarcation” in Germany. He provides a valuable resource for innovative measures to social scientists and computer scientists in the field of applied natural language processing. 

About the Author

Gregor Wiedemann holds a doctoral degree from Leipzig University, Germany. He is the coordinator of the discipline-specific working groups in the CLARIN-D project, which develops a European virtual research infrastructure for digital language data analysis in the social sciences and humanities.